In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Abstract. The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals an...
Chris Mattmann, Sam Malek, Nels Beckman, Marija Mi...
As we look to the future, and the prospect of a billion transistors on a chip, it seems inevitable that microprocessors will exploit having multiple parallel threads. To achieve t...
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...